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I look at it more holistically. Men are not underrepresented in the industry and open source community. Neither are the various races not addressed by this part

I look at it more holistically. Men are not underrepresented in the industry and open source community. Neither are the various races not addressed by this particular scholarship. There are other programs you can apply for to get paid to work on LLVM or other open source projects, such as Google Summer of Code. I don't see how this program could actually have a detrimental effect on anyone, let alone a racist or sexist one.

bmarquez 8y ago
My issue is that the scholarship lumps all the Asian groups together, as if Indians or Chinese have the same language, culture and representation in technology as Hmong or Cambodians. It just plays into racial stereotypes[1] in America. [1] https://en.wikipedia.org/wiki/Model_minority#Issues_faced_by_Southeast_Asian_Americans https://en.wikipedia.org/wiki/Model_minority#Issues_faced_by...
- chickenfries 8y ago
  I agree, as an Asian who is not Indian or Chinese, the scholarship could be made more inclusive. The invisibilty of minorty asian populations is a problem in America in general.
proactivesvcs 8y ago
If the courses are run specifically for a group of people, based on their attributes, this subjects them to bias before they even walk in the door. One way that this sort of sexist/racist approach could be detrimental is if it's served by one, or few, organisations, the courses could accidentally (or, in extremis, purposefully) be using methods that cause entrenchment of existing partitions between different groups of people. Perhaps one set of courses teaches in a certain innocent manner, and the minorities that consume the course therefore learn in a particular way, or leave out key issues. There's also the possibility of being indoctrinated against those groups that are not welcomed; again, not necessarily on purpose - I don't intend to demonise such organisations. Somewhat analogous to recent machine learning/algorithms being found to be prejudiced as their programmers may be unknowingly prejudiced - e.g. facial recognition working poorly for faces of people with dark skin.

bmarquez 8y ago

My issue is that the scholarship lumps all the Asian groups together, as if Indians or Chinese have the same language, culture and representation in technology as Hmong or Cambodians. It just plays into racial stereotypes[1] in America. [1] https://en.wikipedia.org/wiki/Model_minority#Issues_faced_by_Southeast_Asian_Americans https://en.wikipedia.org/wiki/Model_minority#Issues_faced_by...

chickenfries 8y ago
I agree, as an Asian who is not Indian or Chinese, the scholarship could be made more inclusive. The invisibilty of minorty asian populations is a problem in America in general.

proactivesvcs 8y ago

If the courses are run specifically for a group of people, based on their attributes, this subjects them to bias before they even walk in the door. One way that this sort of sexist/racist approach could be detrimental is if it's served by one, or few, organisations, the courses could accidentally (or, in extremis, purposefully) be using methods that cause entrenchment of existing partitions between different groups of people. Perhaps one set of courses teaches in a certain innocent manner, and the minorities that consume the course therefore learn in a particular way, or leave out key issues. There's also the possibility of being indoctrinated against those groups that are not welcomed; again, not necessarily on purpose - I don't intend to demonise such organisations. Somewhat analogous to recent machine learning/algorithms being found to be prejudiced as their programmers may be unknowingly prejudiced - e.g. facial recognition working poorly for faces of people with dark skin.